We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Effective Empirical Acceleration Modeling and its Application to Enhanced-Accuracy Orbit Prediction.
- Authors
Wen-bin WANG; Yang GAO
- Abstract
Effective computing methods are proposed for calculating the sensitivity matrices related to empirical acceleration parameters that are used to compensate for dynamic modeling deficiencies. Meanwhile, design and normal equation matrices are expressed in the form of partitioned sub-matrices. These methods of computing the sensitivity matrices and partitioning the normal equation matrices are extremely timesaving and require less storage, compared to conventional methods. The GRACE real flight GPS observation data has been used to evaluate the computing performance of setting up normal equation. The efficiency increased to 2 times when using code observations only, and increased to 3.5 times when using code and carrier phase observations together. Furthermore, we found that the empirical accelerations showed quasi-periodic characteristics with respect to time variable, which allowed Fourier series to be used to interpolate empirical accelerations. The fitted tangential empirical acceleration curves, which are added into deterministic force models, form enhanced-accuracy dynamic models that are applied to orbit prediction. For 3-day orbit pass, the prediction accuracy was better than 60 meters and an improvement of 2.3 times on average was achieved, compared to conventional dynamic models without considering empirical acceleration models. The proposed prediction schemes are beneficial to the establishment of advanced, possibly onboard, satellite navigation systems.
- Subjects
SPACE vehicle orbits; ARTIFICIAL satellites in navigation; MATRICES (Mathematics); SPACE vehicle dynamics; DYNAMIC models
- Publication
Transactions of the Japan Society of Aeronautical & Space Sciences, Aerospace Technology Japan, 2016, Vol 14, Issue ists 30, p39
- ISSN
1884-0485
- Publication type
Article